Microsoft Applied Scientist 

United States, Washington 

101777680

Be part of our mission to create intelligent on-device copilot models, seamlessly blending text and rich media features to enhance your digital interactions, whether drafting a blog post, crafting a social media update, or composing a formal email.

Required/Minimum Qualifications

• Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 2+ years related experience (e.g., statistics, predictive analytics, research)
  • OR Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 1+ year(s) related experience (e.g., statistics, predictive analytics, research)
  • OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field
  • OR equivalent experience.
• 2+ years of hands-on experience in Data Science and ML modeling, shipped scalable models in production.

Additional or Preferred Qualifications

• Familiarity with LLM distillation, fine-tuning.
• Responsible AI (RAI) Advocacy: Experience or understanding of ethical considerations and best practices in AI development, with a commitment to championing Responsible AI principles.
• Experience working in a research environment.
• Good understanding of deep learning and large-scale ML concepts.

Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:Microsoft will accept applications for the role until June 26, 2024.

• Collaborate closely with the Microsoft Copilot team, from conceptualization to implementation, to develop scalable GenAI capabilities for applications like Microsoft SwiftKey and other mobile applications.
• Continually optimize supported scenarios by implementing techniques such as distillation and fine-tuning LLMs, focusing on reducing costs and latencies. Establish and refine evaluation metrics, prioritizing accuracy, speed, and efficiency.
• Define datasets and metrics for Responsible AI (RAI) assessment and collaborate with RAI teams to ensure compliance.
• Lead project initiatives by setting clear goals and timelines, assuming ownership, and orchestrating collaborative efforts with stakeholders: Product Managers, designers and client teams, to craft top-tier AI systems that bring delight to end users through seamless delivery.
• Thrive on addressing complex challenges and adapting to emerging technologies and innovations in AI, making significant contributions to project outcomes.
• Contribute to academic and industry discourse by publishing papers, participating in conferences, and serving as a representative of Mobile AI innovation.

• Embody our